Category: Gen AI

  • Artificial Intelligence & Humans: The Fear and Hope of a Better Future

    On the potential of the Internet, Anthony Rutkowski, “a de facto global spokesman for all things cyberspace,” told the Washington Post in February 1996, “These technologies are going to profoundly affect the way we perceive our humanity. We all have ideas to share and stories to tell and now we really can.”

    There were also pessimists like Sidney Perkowitz who wrote In the May/June 1996 issue of The American Prospect, “Aimless chat is the insidious seduction of the Internet; it can replace inward contemplation and real experience.”

    Now in 2023, AI is currently in a similar phase. From being a sci-fi fantasy it has evolved and fast, to a real-world super utility. While there are those who still look at AI and Machine Learning technologies as something to be wary of. Underneath all the chatter though, there is the hope of a better future.

    #1 Disruption of Artificial Intelligence in Retail

    Over the past four years, the application of AI has increased by up to 270% across many sectors. Additionally, it was expected that the use of AI across various business operations may help retailers save over $340 billion by 2022, and it did.

    This in itself is a testament to the great future of AI in the retail industry. Companies like Amazon are testing AI amalgamated with drones for delivery in less than 30 minutes. The future of AI in retail is bound to be more autonomous and individualized which will further provide more choices to consumers.

    #2 Artificial Intelligence in Healthcare

    AI will be crucial in preventing close to 86% of errors in the healthcare sector. AI coupled with predictive analytics can be used to better understand how numerous circumstances such as place of birth; dietary habits, etc. affect health. Future healthcare systems will likely use AI to predict when a person is most likely to acquire a chronic illness and recommend preventative medication to treat it before it worsens.

    However, if we take a different perspective, the “QR-based Health code” example in China and Brain-Computer Interfaces (BCIs) have also raised the issue of who is in charge of the system—the user or the machine.

    #3 Artificial Intelligence & Job Opportunities

    Since the advent of AI, it has been a common fear that AI will leave people jobless. But that’s not the whole truth. We may envision a more comfortable future for ourselves in which new occupations will be created rather than eliminated by artificial intelligence.

    While it is true that AI will eliminate repetitious jobs, it is also true that AI will create twice as many jobs as it eliminates. This is evidence of the claim made in a recent report by the World Economic Forum that AI will generate 58 million new employments by 2022. In fact, India’s AI workforce has increased by almost three times since last year, which is encouraging given the country’s promising future.

    To Conclude:

    AI is undoubtedly here to stay and penetrate further. Fei-Fei Li, Professor of Computer Science at Stanford University had this to say, “I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy.”
    Check out www.oriserve.com to know what we are doing in the world of conversational AI.

  • Deploying Gen-AI Agents? Here Are 5 Mistakes to Avoid

    Conversational commerce has the potential to accelerate the growth of your brand while improving customer experience. It is critical to understand the capabilities and avoid some of the mistakes while deploying Gen-AI Agents.

    Mistake #1: Beginning Without an Effective Plan & Strategy

    AI Agents are as good as the information it has regarding your brand, customers, and your product or service. While the AI is quick to learn and adapt as it starts conversing with customers, it is advisable to carefully plan the nuances.

    The purpose of developing a conversational AI project influences the plan for creating an effective conversational AI solution.

    Develop a plan by examining your customers’ motivations and then modifying the tone, technique, and AI behavior.

    Mistake #2: Your First Use-Case

    Conversational AI has been deployed largely for rule-based linear customer support. No secret that the experience can be a little frustrating at times interacting with such bots. Real conversational AI understands intent, dialects, sentiments, and multiple requests in the same sentence.

    Deploy real conversational AI solutions for your top and middle of the funnel, to begin with. This will allow the AI to learn as it pushes the customer down the sales funnel with intelligent contextual conversations. Treat your AI like a Sales agent who will mature to delight your customers.

    Mistake #3: No Hybrid (AI+Human) Approach

    We are still in the early days of conversational AI-based end-to-end effective customer transition. According to American Express, 23% of consumers still prefer human interaction in complex issues.

    Deploying an AI Agent that is capable of handing over the chat or a call to a live agent with context-rich and structured conversational data can be the most effective approach.

    A hybrid solution will bring efficacy, profits, and a better experience.

    Mistake #4: Continuous Training & Tracking AI’s Performance

    A real conversational AI has the ability to continuously self-learn from available sources and conversations. That still does not mean the AI requires no human intelligence to optimize its paths toward the objective.

    Appointing a SPOC for the AI, who can guide the AI in learning responses or understanding context will create a profitable and rewarding experience. Tracking key metrics of your conversational AI can help dramatically improve its performance.

    Mistake #5: Ignoring the Trends & Predictions

    Newer technology stacks and methods are being added to conversational AI daily. Gen-AI Agents are becoming intelligent and capable as we interact more and more with it. That means it becomes imperative to keep an eye out for early trends.

    This will help you design the best-updated conversational AI solution that suits your business needs and helps you outperform your KPIs.

    Check out the list of the top 5 trends we recently published for conversational AI adoption for 2025.

    If you’re a brand or an enterprise looking to take advantage of AI Agents, consider these 5 points and move ahead and upwards. Click here to schedule a demo with our experts, if you’re stuck adopting Gen-AI Agents into your operational or customer-focused processes today.

  • Instagram Chatbots for Business: A Complete Guide

    The evolution of conversational AI and messaging channels has revolutionized the way brands communicate with their customers. Meta’s family of apps, i.e., Messenger, WhatsApp & Instagram, provide a massive opportunity for brands to create meaningful conversations with their customers. This has led to messaging channels becoming an integral part of every brand’s digital transformation strategy.

    Over one billion people use Instagram regularly. 83% of users discover new products and services through the app, and almost half of them follow through with their purchases. It’s time for brands to create and establish their presence on the platform and shape their unique brand identity. 

    Messaging is an integral part of Instagram; it helps customers connect with brands through multiple avenues like feeds, stories, mentions, and DMs. The goal is to turn Instagram into a vital customer service and commerce channel for businesses of all sizes. With the introduction of the Instagram Messenger API for business, brands can manage customer communications at scale more quickly. 

    Messenger API is a game-changer for brands to drive more conversations, consideration, and brand preference. Consumers expect businesses to respond to their messages instantly and satisfactorily. Instagram chatbots can help businesses achieve precisely that and more.

    Businesses should explore the Instagram chatbot builder to automate communications and boost sales on Instagram.

    What is an Instagram Chatbot & Why do You Need One?

    A chatbot doubles up as a virtual consultant that sends automated responses based on triggers such as specific keyword searches or actions. Chatbots can also send bulk messages and collect customer information, which is stored in an integrated CRM system.

    Instagram chatbots can be beneficial to businesses in the following ways – 

    • Boost customer loyalty by providing instant answers to their queries 24/7
    • Achieve an increase in sales through instant, relevant and persistent communication.
    • Improve customer retention by sending relevant and helpful reminders and announcements.
    • Save internal resources since businesses will not require many agents to process orders and reply to repetitive incoming messages.

    How do Chatbots Help Automate Business Processes?

    Let’s first talk about the basic functions that brands can assign to chatbots on Instagram:

    1. Answering FAQ:

    Business accounts often receive direct messages containing similar questions about product availability, prices, sizes, locations, working hours, delivery times, etc. Brands can program the bot to provide options and react to specific trigger words in users’ messages, preventing the customer support executives from being overwhelmed.

    1. Automating the initial stages of the sales funnel:

    Brands can quickly weed out unqualified leads based on their interactions with chatbots. An Instagram bot can replace an actual salesperson and close the deal if the sales funnel is small. However, a live sales team is still needed to process an order — if that’s the case, the brand can add a switch button to allow the users to connect with human sales executives.

    Nevertheless, chatbots significantly help business owners save time and money by allowing their employees to provide excellent service and avoid being overwhelmed. After connecting a chatbot, the amount of work that usually takes three people can be processed by one. The bot empowered by conversational intelligence automatically processes appointment requests, reservations, and other inquiries.

    1. Increasing customer trust and engagement:

    Instagram bots can engage with an audience and warm them up. For instance, brands can design a quiz where users answer questions to receive a desirable lead magnet at the end. Getting something valuable for free will influence the audience’s perception of the brand, boost their interest, and increase their desire to try its paid products.

    Businesses can also use chatbots to provide helpful information, educate users about their brand, and share links to other resources.

    1. First-party customer data and hyper-personalized offers:

    Instead of scouring through a customer’s order history each time the brand wants to contact them, they can set up filters and send personalized automated messages based on their interests, status, and other details.

    A lot of conversational insights, customer preferences, and first-party data can be collected through conversations. This helps brands understand their users better and connect with them with content and offers that are tailor-made for them.

    1. Sending reminders:

    Potential customers can be forgetful regarding meetings, calls, or webinars. Businesses can send gentle reminders on Instagram through a chatbot to ensure customers won’t miss key engagement and brand events. This is backed up by the fact that people spend a lot of time on social media apps and check them outside their working hours, so the chances of noticing a reminder on Instagram are high.

    1.  Collecting feedback:

    Brands can use Instagram chatbots to conduct surveys and collect feedback. Enabling post-sales conversations, delivery updates and post-sale feedback helps build a connection with the customer.

    This also helps brands improve their processes and customer support through collecting timely feedback.

    1. Responding to brand mentions in Stories:

    Instagram Stories are short-lived. Businesses need to be agile and react instantaneously when they get mentioned by their customers.

    Businesses shouldn’t ignore or leave mentions unanswered. Monitoring brand mentions manually is a monotonous task that can be easily automated.

    The focus should be not only on thanking customers with words, but also responding smartly and intuitively. Brands can go a step further by offering special customized discounts or other incentives to encourage new purchases and mentions.

    1. Using Instagram as an all-in-one communication channel:

    Brands can add the “API Request” element to the message flow to extract data from another website or database and display it in a message to a subscriber. 

    For example, they contact the brand to learn more about a specific product, and the chatbot uses the name or inventory number of a product to retrieve the necessary information.

    1. Click to purchase. From Advertisement to Cart:

    It can often be a tedious task for any customer to browse through various products on a company website. Instagram’s conversational commerce will assist customers in finding the products they want.

    For instance, a customer finds a dress ad on her Instagram feed and clicks on the “send message” button to inquire whether the dress is available in size “M”. The bot immediately responds to the query and directly sends a payment link to help the customer complete the purchase without having to leave the app.

    In addition to this, the bot can send discount coupons and offers that can incentivize the customer to purchase more than they originally intended.

    1. Reduce Cart Abandonment Rates:

    Due to cart abandonment, e-commerce brands lose $18 billion in revenue each year. The use of an AI-powered Instagram chatbot reduces the possibility of cart abandonment since it engages with the customer, understands what they want, and retrieves relevant products that they will be interested in.

    Additionally, timely and smart nudges can get the user to take action.

    1. Build Customer Loyalty:

    A great way to differentiate brands is to create unique brand experiences. Creating a memorable customer experience leaves a lasting impression and creates loyalty for the brand. Conversational bots can send to specifically targeted customers. For example, brands can send discount coupons to customers who have spent a certain amount at the store.

    1. Increase Conversions:

    Automation has transformed how brands engage with customers. The buyer’s journey can now be a two-way conversation so that brands can increase conversions. Conversational intelligence on Instagram can be an excellent way to provide real-time conversations that help customers with their purchases. For instance, if a customer has a query about a product, they can DM the company’s Instagram handle and get a response almost immediately. By solving the customer’s question, the customer can proceed with their purchase.

    Impactful Ways to Use an Instagram Chatbot

    Instagram has over a billion users worldwide. Initially, Instagram was expected to reach a billion users in 2024, but it hit the mark three years early.

    Instagram has 2.5 crore business accounts out of 100 crore users, and approximately 20 crore people view a business page every day. Instagram’s rapid growth has altered how consumers interact with brands. Today, it is a standard practice for businesses to be active on Instagram, providing customer service and sharing content. It presents both possibilities and problems.

    Brands must allocate resources to develop a dominant Instagram presence. To make the most of these resources, brands must take advantage of the channel’s interactive and fast-paced nature. 

    We will now explore how an Instagram chatbot can help brands become more resource-efficient while maximizing their account’s value:

    1. Providing customer service that competitors will envy:

    In recent years, Instagram has become a predominant customer service platform. Managing this channel can be highly resource-intensive, often requiring a range of dedicated resources. Chatbots alleviate the pressure customer service departments face, acting as the first line of defense.

    Additionally, 71% of all Instagram users are under 35 years old. Since this generation is used to dealing with chatbots, conversational AI is an excellent customer support tool for Instagram.

    1. Responding to repetitive inquiries:

    Dealing with FAQs and repetitive inquiries is a chatbot’s bread and butter. Instagram chatbots can be trained on niche subjects, allowing them to answer a variety of complex FAQs.

    A brand needs to create its FAQs and program the chatbot. The chatbot will eventually begin to recognize various query variations and spelling errors by using AI and machine learning. It may be a little daunting for some people. In reality, it’s as simple as creating a spreadsheet with a list of questions and answers.

    1. Guiding customers through processes:

    Every brand has processes they need to guide customers through. These could be checking order status, resetting a password, or explaining how to complete a premium subscription form. 

    Agents are at their best when helping customers with complex or emotional issues. Machines perform best while completing repetitive processes.

    An Instagram chatbot can help take care of the long-winded, repetitive processes, while human agents can focus on those customers whose queries cannot be resolved by the chatbot.

    Using a chatbot’s conversational intelligence can replicate the company’s human processes, making it easy to turn every step into a chatbot conversation.

    Many customer service departments have guides or help sheets to train new agents on their standard processes. An Instagram chatbot replicates those help sheets talking to customers and assisting them directly. 

    2. Building a memorable and exciting brand:

    Chatbots are more than a simple sales or service tool for the innovative. They are a platform that may be used to portray a company as eccentric, represent a brand’s core ideas, or create trust by offering advice and support. With chatbots driven by conversational AI, there’s endless room for creativity. A single chatbot may significantly increase a business’s reach and recognition, while also working to boost brand recall. This boosts the overall success of the campaign, and the added element of user engagement helps businesses stand out from competitors.

    3. Sales, sales, and more sales:

    With 80% of Instagram users using Instagram to decide if it’s worth purchasing a product, brands must make the most of this potentially lucrative channel.

    Chatbots provide what influencers cannot, interactive engagement. They provide answers to inquiries, put people at ease, and build enthusiasm. In short, chatbots are personal shoppers for every follower.

    1. Turn Instagram stories into a stable revenue source:

    Instagram stories may be used to encourage direct interaction. A brand can direct message its followers using a specific term. When a follower writes this term, it will initiate a focused discussion.

    This enables brands to bring their social campaigns to life and follow-up campaigns with targeted conversations. These discussions can range from delivering discount coupons to complicated, multi-branch dialogues marketing a broad range of products.

    There are several strategies to enhance revenue using chatbots and Instagram stories. Here are some ideas to get you started:

    • Encouraging followers to engage with flash sales.
    • Create unique conversations that build interest around a product launch.
    • Giving an interactive touch to a marketing effort, assisting customers to move towards conversion with the brand
    1. Automate social selling:

    Modern customer, especially the younger generation, seeks simple purchase options. As they’re often on a mobile device, consumers don’t want to be bounced from a webpage to buy a product. When brands consider that Instagram users acknowledging the brand page make them more likely to complete impulse purchases, ensuring a seamless experience is paramount. This is where chatbots come in. Chatbots provide information about the product, recommend alternatives, and answer any customers’ questions. Following the deployment of an Instagram chatbot, a creative team may deliver a campaign that draws the eye through stories before concluding the sale through a tailored discussion.

    4. Bring in leads that actually care:

    The warmer the lead, the easier the sale. Chatbots warm up potential buyers by eliminating communication barriers using AI-based interactions. Before passing leads to the sales team, it’s easy to create a chatbot that:

    • Pre-qualifies the lead to ensure it is worth the attention of a salesperson.
    • Answers any preliminary inquiries that the customer may have, stoking their hunger and dispelling any concerns.
    • Shares promotional content, thereby educating leads about a brand’s products and services.

    5. Bring your ads to life:

    The problem with the previous practice of following up adverts with static mediums is that the consumer might easily become disinterested. They may become preoccupied, be unable to locate the necessary knowledge, or just forget.

    More forward-thinking firms are supplementing their social advertising with chatbots. After clicking on an ad, the user is taken to a chatbot conversation.

    The chatbot answers any questions the user may have. It also helps make the experience more engaging, increasing the likelihood the user will buy the company products. 

    6. The New Cash Register: Instagram

    With the growth of mobile technologies, consumer expectations are changing. On Instagram, conversational intelligence has paved the road for more direct sales pathways. Brands have begun conversing with customers to pique their attention and encourage them to take action. As more people purchase using messaging apps, marketers can leverage conversations to guide users through the buying process, allowing them to shop anywhere and at any time.

    Potential Use Cases of Instagram Chatbots

    Let’s take a glance at some possible use cases for Instagram message automation now that we’ve covered the basics.

    1. A retail/e-commerce brand allowing Instagram users to check the latest products, recover abandoned carts via notifications or let users check the delivery status.
    2. An insurance company allows users to book a call with a sales expert.
    3. A marketing influencer runs a ‘Comment to win’ discount campaign on their new course.
    4. An apparel brand offers coupons by Direct Message to users who mention the brand in stories and leave positive feedback.
    5. An electronics company is handling customer complaints with conversational AI chatbots.

    Instagram Chatbots: An Opportunity for the Creatives

    Instagram rewards creative efforts. Its fast-paced nature means that brands have to offer new content regularly, engage in rising topics and respond to thousands of messages. In the same way as a typical website chatbot, an Instagram chatbot helps reduce some of this workload.

    Instagram chatbots are empowered with conversational intelligence that gives a brand the capability to focus on more high-value activities. It also helps to establish a brand in the follower’s minds. Memorable interactions and amusing messages can help the brand stay in the minds of followers for a long time once it has been established.

    Next time a business thinks about Instagram, it must ensure to build a chatbot into the creative ideas that will offer a range of exciting avenues to explore.

  • WhatsApp Marketing + Humanized AI Conversations = A Game-Changer

    Having more than 1.3 billion monthly and 1 billion daily users, WhatsApp has been operating at a massive scale for quite some time. And the onset of the pandemic itself has taken its game to a whole new extent. Messaging on WhatsApp has increased beyond 50% in the last few months. In fact, the usage of video and voice calling has doubled than what it was before. This certainly proves WhatsApp usage has increased exponentially.

    When the first wave of pandemics hit humanity, the world went to lockdown, more people started using messaging apps for video calls and texting. This resulted in the consumer market shifting to WhatsApp, the first one being the most popular with 2 billion users worldwide. And the introduction of Whatsapp for businesses became a savior. The businesses were now able to spread the word about their services and products which they were unable to do earlier. 

    But the integration of WhatsApp with Convert, a conversational AI can elevate the game of modern-day businesses to a higher extent. As it offers personalized engagement at scale, acquires new customers, and generates valuable customer insights which will further spike conversions for your business and that too at no extra cost. Keeping all these points in mind this blog will help you understand why WhatsApp for businesses matched with the services of Convert has the potential of transforming businesses in the long run along with improving consumer service as a whole.

    Brief History of WhatsApp Marketing 

    Though WhatsApp for business and advertising might feel like it has been around forever, its history tends to be, very brief and surprisingly recent. Two former Yahoo employees namely Jan Koum and Brian Acton founded WhatsApp in 2009, the app became insanely popular but remained free of business presence as its sole purpose was to connect people of every social stratum, and that too in a much simpler way.

    Even after being acquired by Facebook for $19 billion in 2014, its co-founders promised to keep WhatsApp ad-free. Over the years, WhatsApp released multiple new features to defend itself from competition like improved group features and a Snapchat-like 24-hour story update, while some others were designed to improve the integration of the app within the Facebook ecosystem.

    In May 2018, Koum left WhatsApp due to a clash in the strategy with its parent company, Facebook, which has plans to move towards a business and ad-friendly model. And so, with the interest in WhatsApp marketing came the release of new business-friendly features like the free WhatsApp Business app for Android in selected markets and revenue-generating WhatsApp Business API and Ads in WhatsApp Status Stories.

    Knowing all this, now you must be quite familiar with the way how WhatsApp for business was introduced and the reason for the same. But the next question that you must be wondering of knowing the answer to would be why you should be choosing WhatsApp for your business. And the same will be answered in the next section.

    Why Choose WhatsApp for the Purpose of Business?

    Messaging apps have become the #1 form of communication amongst consumers and brands. In most countries, phones and even SMS messaging have become secondary options next to these new means. This is because channel like WhatsApp is much more efficient and immediate than traditional methods of communication. Following are the reasons why you should choose WhatsApp as a medium of communication with your prospective customers:

    It’s where most of your customers are:

    Out of all the messaging apps currently in the market, Whatsapp is the most used one, followed by Facebook Messenger and WeChat.

    Offers a guarantee of better engagement:

    WhatsApp increases engagement because it transmits and strengthens credibility. It shows potential consumers that your business is not restricted to traditional bureaucratic channels of communication and that the customer experience is an important part of the said business.

    Great reach and accessibility:

    Whatsapp is one of the most used messaging apps worldwide, having more than 2 billion users around the globe. Now is the time for businesses to make themselves more available and accessible for their customers, to contact them in channels they usually use and feel comfortable with. One feature that holds much importance is that it can be accessed anytime, anywhere, and with any device.

    Quicker responses:

    By using Whatsapp, you can answer more quickly by reusing useful and frequently sent messages for speeding up the support process. You can contact your target audience directly on their phones, anytime and anywhere.

    What are WhatsApp Business APIs & their Advantages? 

    WhatsApp Business API is basically an interface that allows businesses to interact with their customers in a secure, private environment while allowing a more friendly and informal way of communication. The main idea of the WhatsApp API is to take the WhatsApp API endpoint and integrate it into their business software. In this way, they can interact with the customers smoothly and securely.

    Advantages of WhatsApp business API include:

    • The multi-login feature lets you add your teammates to support customers and work from different devices at the same time.
    • Offers you the capability of managing large volumes of incoming messages seamlessly.
    • You can send quick responses and automatic replies to your customers.
    • Official business account verification via a green checkmark develops credibility.
    • It allows third-party software integration which is the most important feature considering the integration of Conversational AI like Convert which plays a crucial role in boosting your sales and offering 1:1 customer engagement at scale.

    Note: WhatsApp Business is different from WhatsApp Business API. WhatsApp API is for medium and large-scale businesses whereas, WhatsApp Business is for small-scale businesses that need to communicate with their customers 1-on-1.

    Integration Of WhatsApp with Convert: A leap towards transformation

    Being close and personal along with developing brand credibility in your customers’ minds is the key to having the edge over your business competitor. With more and more people using digital media and social media platforms to connect, evaluate and make decisions, it is vitally important to look for effective methods to increase the reach of your business.

    Developing a great product is the first challenge, but marketing it so that it is visible to its potential customers is the second and the biggest hurdle passing which later would convert into sales. With the world running on automated software and technologies, one can ace the business domain by implementing a personal, conversational AI like Convert to serve its customers.

    Convert as a Conversational AI unified with WhatsApp brings huge advantages which are:

    1. Improved revenue:
      Convert integrated with WhatsApp API lets you engage with your customers on the go using appropriate and customized messages. It also accelerates the process of product search and minimizes the time taken to purchase with its AI engine. Convert also offers the feature of up-selling and cross-selling to your customers which further improves the top-line drastically.
    2. Enhances CX:
      Convert lets you break the boundaries of the traditional and formal manner of communication with your customers. It provides the option of communicating through images, videos, and gifs which builds the connection of the brand with its consumers. The feature of reminding your customers of important dates and activities via timely alerts shows them that you care.
    3. Reduced CAC:
      By unleashing the huge potential of Convert unified with WhatsApp brands have an opportunity of decreasing their CAC. As much as 30% of reduction in costs can be achieved by implementing Convert in collaboration with WhatsApp API. Convert has the ability to analyze customer behavior and self-train itself to cater to multiple customers simultaneously, thereby saving your training time and cost immensely. The contact center cost is further reduced due to its ability to work round the clock without any human intervention.
    4. Higher reach:
      There are more than 2 billion users of WhatsApp messenger globally which proves that it is the most preferred platform for textual conversations. Convert as a Conversational AI for WhatsApp enables you to connect with almost all of your customers round the clock ensuring a higher reach and boost in sales ultimately.
    5. Customer satisfaction at its best:
      Convert allows your customers to connect with you regarding any issue instantly, by not making them fill out a form to respond or letting them wait for hours by using WhatsApp for business. Quick response and ease of access comprise a good customer experience and this is what drives a customer into giving positive feedback.

    Looking upon all the features and advantages of Convert as a Conversational AI integrated with the services of WhatsApp API makes it one of the best in the market. Oriserve is very proud to launch these features in collaboration with Vodafone Idea, Rupify, and many other such businesses. The use cases that these businesses are driving with Convert integrated WhatsApp commerce are:

    • Driving conversions through personalized conversations.
    • Sending personalized product recommendations based on customers’ needs & past behavior.
    • Driving orders through interactive messages and a seamless shopping experience overall.

    Conclusion:

    Summing all things up, it becomes quite evident that WhatsApp commerce is assured to become the biggest game-changer in the e-Commerce scene. Customers don’t have to jump through multiple apps and websites just to find what they’re looking for. WhatsApp will become the most vital channel when it comes to generating sales and unlocking hyper-exponential growth. Interested in knowing how Convert can take it to the next level?

  • Using Conversations as a Lever for Lead Generation

    Use instant, persistent and relevant conversations as a lever for Lead generation, here’s how!

    Lead generation is the key motive of business and marketing activities, without which the base of business activities is lost. Different methods for lead generation have been used over the years however conversational AI remains top among those.

    Conversational AI has been one of the most prominent techniques widely used for lead generation the reason it’s a comparatively low investment with high ROI. Businesses that use AI chatbots are more likely to generate high-quality leads. Unlike human beings, a conversational AI can assist 24/7.

    When a potential client or a person visits the website of a business their first interaction occurs with the conversational AI. Hence not deploying a conversational AI on your website is an unnecessary risky business.

    Why Is There a Need to Use Conversational AI While Doing Business?

    Simply because communication is the key to attracting and sustaining existing customers. Communication is the guiding light and conversational AI does just that, it engages the audience and keeps them engrossed by simply having a conversation.

    Qualifying leads:

    Conversational AI qualifies leads without human intervention and directs them through the sales funnel. This makes the job of the sales department even easier.

    Better ROI:

    Conversational AI is synonymous with better ROI in every sense of the word. It helps in solving many business problems that existed traditionally. Leads generated ensure high quality.

    Promising Customer Engagement:

    Customer engagement is de facto for the success of any business out there. Customer engagement works wonders when done appropriately. Conversational AI not only provides 24/7 assistance but also helps to automate customer experience by adhering to their problems in real time. 

    Here Are a Few Ways to Use Conversational AI for Lead Generation:

    Traditionally, acquiring leads is 10 times more expensive than converting the leads that you already have. Using AI chatbots for lead generation can significantly reduce the cost and effort that goes behind attracting customers to the top of the funnel.

    Understanding & Creating User Persona:

    The first and foremost crucial factor for lead generation is understanding your customers.

    The demographics can be related to geography, gender, age group, economic status, etc. once the business has the knowledge of this it can be used to optimize the Conversational AI in such a way that it automatically generates qualified leads as per the requirement of customers. 

    It is always better to focus on a certain group of the target audience than an entire community.

    Segregation & Personalization:

    Conversational AI can be used to segregate potential customers as per their preferences this can further assist in drafting personalized messages for each customer. Surely one way to keep the customers intact. Personalization appeals to the customers and guarantees loyalty.

    Simplified Identification:

    It becomes convenient to identify and further collect the details of the visitors to your website using Conversational AI.

    Automated Scheduling of Appointments:

    If the leads stand qualified conversational AI schedules appointments automatically. This gives the company an upper edge over the competitors. By giving customers a zero-effort process of conversion. It reduces the efforts of the sales department and lets them focus on the customers in a better way.

    Proven Relevance & Educating Audience:

    It is true what they say, the best one is the relevant one. Using the given prospects’ conversational AI helps educate the audience when they are browsing through your website.

    Seamless Agent Hand-offs:

    In case there are complex queries that need human attention the AI can automatically direct them toward a competent person. In this way, the customer query is intelligently resolved and directed. Indeed, Conversational AI cannot replace humans however, it certainly increases their productivity. As the conversational AI provides a history of the previous conversation, it becomes easy for the employee to handle the task.

    Offline Lead Generation:

    Unlike human beings, conversational AI is never offline. Once installed it works forever. Hence it keeps generating leads even when its human counterpart is offline and that proves to be the biggest benefit. 

    Reduction in Bounce Rate:

    Using conversational AI is engaging. So even if customers are intending to bounce from your website, they feel the psychological need to interact with the Conversational AI bot. It understands customer requirements and gives you an advantage over competitors.

    That’s what Convert does for you, the conversations act as a lever for lead generation and support your brand to seize the height of lead generation.

    Convert provides an environment for your existing and potential customers to interact with the system directly and if the query isn’t resolved, it redirects the same, ultimately getting human attention. That does not only help to generate leads but also helps to work in a better way on the existing ones.

    AI technology is the future of marketing and sales. Corporations are investing in conversational AI on a large scale each passing day. Convert is one of those tools that help your business grow and prosper in unimaginable ways. Are you ready to invest in the future? Then surely you must invest in Conversational AI.

  • Top 10 Ways the World has Changed With the Use of AI

    Artificial intelligence is no longer a futuristic technology; it is already influencing our daily lives.

    Since the dawn of computing, scientists have aimed to construct robots that can think, reason, and learn as well as humans – in other words, artificial intelligence.

    IT [Artificial Intelligence and Machine Learning] is making its way out of the lab and into the real world. It has an impact on our daily life. There’s no denying that we’ve arrived at the dawn of the artificial intelligence era.

    AI is expected to have a long-term impact on almost every business. It is already present in our smart devices, autos, healthcare system, and favourite apps, and it will continue to pervade many additional industries in the foreseeable future.

    Because AI is the cornerstone of computer learning, artificial intelligence is very crucial to our future. Computers can harness huge volumes of data and utilize their learned intelligence to make optimal decisions and discoveries in fractions of the time it takes people.

    Artificial intelligence is being credited with everything from cancer research advances to cutting-edge climate change research.

    The Future Is Now: AI’s Impact Is Everywhere

    Modern AI — more specifically, “narrow AI,” which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning — has already impacted practically every major business. That has been especially true in recent years, as data gathering and analysis have increased dramatically because of improved IoT connections, the proliferation of linked devices, and faster computer processing.

    Some industries are only getting started using AI, while others are seasoned veterans. Both have a lot of work ahead of them. Regardless, the impact of artificial intelligence on our daily lives is difficult to ignore:

    1. Transportation: Autonomous automobiles will one day transport us from place to place, although perfecting them could take a decade or more.
    2. Manufacturing: AI-enabled robots assist humans in a restricted range of jobs such as assembling and stacking, and predictive analysis sensors ensure that equipment runs smoothly.
    3. Healthcare: Diseases are more quickly and reliably identified, medication discovery is sped up and streamlined, virtual nursing assistants monitor patients, and data analysis helps to provide a more personalized patient experience in the comparatively AI-nascent sector of healthcare.
    4. Education: With the help of AI, textbooks are digitized, early-stage virtual tutors assist human teachers, and facial analysis assesses students’ emotions to help discern who is struggling or bored, and better adapt the experience to their unique requirements.
    5. Journalism: Journalism is also utilizing AI and will continue to profit from it. Bloomberg employs Cyborg technology to assist in the interpretation of complex financial reports. The Associated Press uses Automated Insights’ natural language capabilities to publish 3,700 earnings report stories per year, approximately four times more than in the past.
    6. Customer Service: Last but not least, Google is working on an AI assistant that could make human-like phone calls to arrange appointments at places like your local hair salon. The technology comprehends context and nuance in addition to words.

    But these advancements are just the beginning; there’s a lot more to come — far more than even the most foresighted prognosticators can imagine.

    With companies spending nearly $20 billion on AI products and services each year, giants like Google, Apple, Starbucks, and Amazon spending billions, to develop those products and services, and universities making AI a more prominent part of their respective curricula, and continue to deploy AI-related solutions that directly interact (often behind the scenes) with consumers daily.

    In the examples below, we are trying to show how these large brands are using AI to innovate and gain a competitive advantage:

    So how is Amazon the Ultimate Tipster?

    Amazon began experimenting with ways that a digital bookshop may outperform a conventional bookstore in terms of customer experience in its early days. They started recommending products based on previous purchases, and previous viewings. This was an early version of AI that would eventually generate a personality profile for 300 million Amazon customers. As Amazon’s recommendations improved, people began to purchase elsewhere less and less.

    One of the most intriguing aspects about Amazon is that it genuinely is a “one-stop-shop” for customers. Amazon is used by customers for every aspect of their shopping experience. Amazon also outperforms rival marketplaces and shops in activities like looking for new deals and discounts, comparing pricing, and checking availability.

    Not only are Amazon’s in-site recommendations effective; its email notifications are even more so, with a conversion/sale ratio of nearly 60%.

    Purchase history, browsing history, related items, commonly bought together data, and more are all used to provide item recommendations. Using its vast data set and artificial intelligence, Amazon has created and tested a wide range of recommendations. “You are what you buy on Amazon.” While Amazon continues to improve its user interface through traditional research and A/B testing, its unique content personalization is the outcome of great AI. Customer loyalty has strengthened over time as a result of data-driven customization and personalization.

    And how is Starbucks using AI to delight longtime coffeeholic?

    Hardcore coffee fanatics all have their favourite Starbucks drink, and they get bored of saying it over and over. When Starbucks decided to create its mobile app, the goal was to make ordering their favourite drink as simple as possible. This is made simple by the app, which allows people to save their drink order down to the slightest detail. An AI tale would not be complete without a loyalty/ordering smartphone app. Starbucks uses artificial intelligence to combine the saved beverages and purchase history with a variety of other criteria, like the home city, preferred ordering time, and even the weather at the time of one’s order.

    Finally, one of the smartest things they’re doing is using GPS data from mobile users to figure out which sections of the country are in desperate need of a Starbucks store. The app has a store locator that calculates the distance from the nearest store. The corporation might prioritize new sites based on the number of searches received.

    Starbucks and Amazon have shown that it’s more about recognizing untapped markets and potential than it is about recommending products and services. By putting AI to creative use, it is possible to figure out how to serve their customers better.

    The onset of AI gave rise to the era of conversational sales assistants or in other words -chatbots! These talkative computers harness the power of two disciplines of AI: natural language processing and natural language production to engage with human users. They show up on social media feeds, customer service pages, and websites to provide conversation, advice, and companionship – and they’re changing how we deal with businesses like utilities, pizza delivery services, online stores, banks, healthcare providers and even governments.

    Bajaj Bikes: A Classic Case Study

    Bajaj Auto sought to go ahead of the competition with the launch of the new Pulsar 125 motorcycle by creating hype around the product and establishing itself as the leading brand in the 125 CC two-wheeler category. Ultimately, they wanted to engage more meaningfully with their target audience: ambitious and ensure that their questions were answered quickly. They anticipated that by doing so, they would be able to improve their lead conversion rate and, as a result, their sales conversion rate.

    So What did Bajaj do?

    Baja Auto and Ori, partnered in May 2021 to debut Google’s Business Messages on their website. Bajaj Auto serviced over 34,000 unique customers, engaged in over 300 hours of chatbot discussion in two months, and experienced a 1,335 percent boost in lead conversions by employing conversational commerce to aid product discovery and inquiry.

    The use of chatbots, helped Bajaj Auto enable search intent as the overarching measure of brand popularity when compared to their competition. Even when the country was thrust into COVID-19 lockdown, Bajaj Auto’s keywords outperformed their competition by 80%.

    Cognitive bots ease customer-platform communication in a myriad of ways:

    • Improves Personalization For User Interaction
    • Provides context-rich Multilingual Support
    • Automate Customer Support for Queries across basic to complex queries
    • Accelerates sales from Abandoned Carts
    • Easy Order Management
    • Accelerate Sales through effective customer value management
    • Accelerates Customer Acquisition by guiding the user to the quickest path to closure

    AI is a technology that is revolutionizing every aspect of existence. It’s a versatile tool that allows people to rethink how they integrate data, analyze it, and apply the ensuing insights to make better decisions.

    While today’s AI systems are still a long way from achieving that aim, they are beginning to perform on par with, if not better than, their creators in certain activities. AI has advanced dramatically because of new techniques that allow robots to learn from vast amounts of data.

    AI is the biggest business opportunity of the next decade. Manual and repetitive jobs are already automated. It will soon assist humans in making decisions. Along the way, it will contribute more to global GDP by 2030 than China and India combined. These developments in AI today, will further give rise to various innovative use cases and possibilities across AR, VR and Metaverse.

    How will AI affect virtual reality and the metaverse in the future?

    Smartphones will become smarter as a result of VR technology, and many more smart tools, such as VR goggles and VR devices, will flood the market. We may appreciate history (which is presumably boring), explore space (from Earth), see the surface of the moon in 3D, and much more via virtual reality.

  • How conversational AI is shaping the future of the Education Sector?

    We could have never predicted where we would land in the Global Pandemic but there is a brighter side to it. The year 2020 led to more digitization than the last whole decade. Small and large businesses have managed to survive and rise in the digital wave. Fortune 500 companies and startups are investing highly in conversational AI chatbots to enhance their business processes in areas like customer service, employee support, workflow automation, employee onboarding, and more. 

    Various sectors like healthcare, mass media, tourism, etc but how about the education sector? And how has it benefitted?

    Where does the education sector stand as of now?

    The education sector is no doubt the base sector of every sector but as we all know the pandemic didn’t leave this sector unaffected too. But it certainly digitized the education sector. It made online learning a thing and erased the distance factor. In all of this, AI technology bridged the gap that arose due to the pandemic. Significantly we witnessed many universities and educational institutions transforming the admission procedure online including virtual classrooms and virtual examinations.

    This transition was quick-paced. Language software, eLearning apps, and collaboration tools have shown an incredible surge in usage.   

    As per the World Economic Forum, the global education technology investment had marked a high growth by hitting $18.66 billion. By 2025, the overall marketplace of online education is expected to reach $350 billion. If we see the recent trends it is safe to assume that conversational AI is the future of the educational sector.

    Conversational AI in the education sector:

    Conversational AI’s growing importance in the education sector cannot be overlooked. It has evolved the modern teaching and learning methods in a promising way.

    Conversational AI makes sure that the communication is smooth and free-flowing between the computers and users. Conversational AI is not just a chatbot, it’s indeed a smart bot.  It recognizes the language tricks, understands their queries, and skillfully guides them. If any query arises that is beyond the scope of conversational AI it directs the query to the person in charge. One more advantage of Conversational AI is that it delivers a human-like response that makes the users feel that they are interacting with an Actual Human Being. 

    Conversational AI provides virtual assistance by the means of bots making the process of education soluble. 

    The need for conversational AI in the education system:

    We live in a digital era and like every other industry, education sector needs to catch up too. With the help of conversational AI, education sectors are succeeding to do so.  By embracing technology like AI chatbots education sectors can keep the students engaged and make the admission process easier. And no wonder the move is saving a lot of resources and time.

    How does conversational AI influence education?

    Earlier the process of teaching, learning, and submitting assignments was a lengthy one. But since the emergence of conversational AI in the educational arena the process has become easier. Instead of a lot of paper load, technology has transformed the entire process of submission and evaluation. This has minimized the errors of judgment and has made the process free of bias. One more aspect that is significant to note is that students who used to carry numerous books just carry one single laptop now. Conversational AI has personalized learning and doubts solving.

    How is conversational AI  shaping the future of the Educational sector?

    Well isn’t that the whole point of this? AI-powered conversational tools are transforming the learning sector with interactive and customized tools. Let us have a quick look at the ways it is shaping the future of Education:

    1. Personalized learning experience:
      The digitized version of the education sector is a prompt one.  With the introduction of AI in the day-to-day, education learning is becoming more personalized for students across the Globe. 
    2. AI-powered teaching assistants:
      Teaching bots can assist the faculties by being their virtual assistant. They can solve the queries of students as per the instructions given to them without any sort of human intervention. Bots can intelligently dig the content that is suitable for students and as per their interests. Conversational AI can also evaluate students’ learning progress, deliver personalized feedback and suggest more significant learning content.
    3. Better and instant support:
      With instant support, conversational AI helps students reach the peaks they aspire to in their careers. A bot on the website of a university can run students through brochures, admission procedures, scholarships and much more this helps students find exactly what they are looking for.
    4. Automated administrative work:
      With the presence of conversational AI on your website, the burden of tiring administrative work is lifted from your shoulders. AI does attendance, grading and other administrative time-consuming work quickly and as per given instructions. This helps the teachers to focus on topics rather than worrying about administrative work.

    How can Convert AI act as a torch bearer here?

    Convert AI does all the things mentioned above efficiently when given the right instructions. It is a conversational AI product deliberately built to facilitate the learning process. Convert AI will surely provide a helping hand in a seemingly long process of admission, teaching, grading and evaluation. The conversational sales platform is custom built to make the future of the educational sector brighter.

  • 5 Reasons Why Chatbots Are Better Than Traditional IVR Systems

    5 Reasons Why Chatbots Are Better Than Traditional IVR Systems

    An IVR system is extremely frustrating, lacks empathy, and is devoid of engagement. Hence, chatbots were introduced to redefine customer support in the last decade.

    Since then, it has been some time now that these chatbots have started to replace the ages-old, traditional IVR systems but if you don’t see your chatbot function differently from an IVR, perhaps, a second thought should be given.

    The key difference between a great chatbot and an old, boring IVR system is personalization, a truly competitive differentiator, defining user experience entirely in the world of customer support and management.

    It brings the best of both human empathy and AI capability and thus, a perfect balance for customers. This not only makes users more comfortable while having a conversation but also ensures efficient and accurate solutions to thousands of queries at the same time.

    Now that we have established what chatbots are and what they do, let’s dive into the features they use to understand & effectively solve user queries.

    Here are features that Convert AI’s virtual sales agents use to seal the deal:

    1. Understanding the Depth of the Conversation:

    Powered by AI, Deep Learning, and Natural Language Processing, Oriserve’s chatbots are highly capable of understanding human conversations more than ever.

    With the capability of intelligently understanding social media lingos, spelling errors, and sentence classification in multiple languages, chatbots have clearly started to blur the line between a human and a robot in having conversations.

    Even if a user breaks a query into multiple sentences or adds multiple requests into one sentence, our chatbots can distinguish between these two and act accordingly.

    Take the example of our VodafoneIdea chatbot. If users ask to change their plans and recharge at the same time, our chatbot will intelligently show a catalog of available plans, and when a user selects one, it will redirect the users to a payment portal.

    Plus, when the transaction is completed, our chatbot will also send the current payment status in the same chat.

    2. Knows Precisely What Your Customers Want (‘Why’ and ‘How’, not just ‘What’):

    Ori’s real-time engine computes customers’ behavior and delivers in-depth insights and patterns of customers’ likes, dislikes, most talked-about products, or wants, etc.

    So, when a customer types a product keyword, based on these insights and patterns, along with the combination of metrics such as Seasonal Trends, Blending Products, Internal Research, and Multivariate Testings, the most suited products are recommended or the most appropriate resolution is provided, leading to better efficiencies, improving CSAT/NPS.

    Hence, improving the core metric of CLTV.

    3. Let Chatbots Analyze Sentiments to Act:

    Sentiment analysis is crucial in creating the personality of a chatbot. It understands not only what the user is trying to say but also answers with a personal touch.

    Ori’s AI-powered Sentiment Analyser Engine scans human behavior through texts, understands the situation the user might be in, accurately predicts the user’s emotions, and engages with personalized solutions.

    Let’s take the below scenario as an example:

    Customers often forget they have subscribed to Value Added Services such as Caller Tunes, and start charging at the chatbot furiously as soon as they notice a surge in their bill.

    In this case, our chatbot will instantly understand the scenario and present the accurate reason for the surge.

    In case our chatbot fails to answer appropriately, it can also hand the chat over to a live agent to tackle the situation.

    4. Let a Live Agent Save the Day:

    No chatbot is perfect, even the most powerful chatbots fail to understand complicated human conversations.

    Hence, it is important to have someone behind the scenes to take control as and when a chatbot fails multiple times to solve anything.

    Our chatbots are highly capable of understanding human emotions and conversations, but sometimes, they may fail to answer a few queries accurately. Hence, it has a failsafe to ensure users are not irritated when it fails more than once.

    In case it fails to come up with correct answers to a question, it detects the same from users’ replies and sends an alert to a live agent to monitor the chat, and eventually take control over the chat as and when required, ensuring the satisfaction of the users while also keeping you in safe hands.

    5. Offering Support in Multiple Languages:

    Our chatbots, equipped with highly advanced AI integration, Deep Learning, and a set of robust algorithms, are capable of understanding what the users are saying in most of the languages globally such as, but not limited to, English, Hindi, Urdu, Tamil, Telugu, Malayalam, Bengali, Arabic, Cantonese, Spanish, Italian, French, German, Portuguese, Russian, Japanese, Korean, and solve the query efficiently in the same language.

      Be it a query on order status or a question related to a product in a different language, our chatbots can present highly accurate results within microseconds.

      Cutting the Long Story Short:

      IVR is like a relic from the past. It is good but certainly not the best thing for the current environment.

      On the other hand, chatbots are getting more and more advanced with each passing day. Who knows when a day might come when we will be talking to a bot so perfect that we fail to realize it is a bot and not a human.

    1. How Your Mar-Tech Stack Can Benefit by Integrating a Smart AI Chatbot Solution

      How Your Mar-Tech Stack Can Benefit by Integrating a Smart AI Chatbot Solution

      Buying journey has changed because buyers are more tech-savvy, more empowered, and expect personal experiences at every touchpoint. It is increasingly challenging to reach decision-makers at the right time and engage them across multiple decision-making units in today’s world.

      Today, marketing & sales practice is leveraging the digital ecosystem starting from identifying the right consumer to consumer retention by using technologies like behavior-based platforms, Data analytics, CRM, Automation, and AI as consumers are continuously evolving, and their consumption patterns are highly dynamic. Businesses are now leveraging social media, IoT, AI, artificial intelligence AI, and analytics to target and engage customers and help brands accelerate sales growth by using data-rich customer insights and intent-to-buy signals.

      Organizations are leveraging the Next-gen technologies to create deeper connections with consumers. They offer conversational engagement through personalized offerings driving salespeople to have account-based strategies rather than adopting mass-selling opportunities to get a holistic view of the customer journey.

      Understanding MarTech Stack 

      A marketing technology stack is a grouping of technologies used to conduct and improve a brand’s marketing activities. Often, the focus of marketing technologies, aka “martech,” is to make complex processes more manageable, measure the impact of marketing activities, and drive more efficient spending. While martech might still be a new term to some, marketing technology is not.

      Components of a MarTech Stack

      When assembling a marketing technology stack, it’s essential to know which technologies are foundational and should be put in place first. Both B2C and B2B marketers should consider these technologies necessary as they will use different channels and techniques to acquire customers and will have varying technology needs as a result:

      1. Content Management System (CMS): CMS is the technology that powers a website, blog, or other relevant web properties where businesses want to engage their customers.
      2. Advertising technology: Advertising is a crucial customer acquisition technique for brands. Most brands often use a combination of SEM, display ads, retargeting, and ad tracking or attribution software.
      3. Email: Email is a crucial customer communications channel that all brands need in their toolkit. Sometimes, email is a capability built into marketing automation or an inbound marketing platform.
      4. Insights & Analysis: Brands should have access to their data to measure digital marketing activity. Most businesses will have website analytics and their business analytics tracked in either homegrown or third-party tools. A data warehouse can pull together data from various sources and make it easier to access. It can also deliver performance insights through content intelligence.
      5. Experiential Marketing: Experiential marketing, also known as event marketing, is an essential aspect of marketing for many companies. With the growing popularity of virtual events, conferences and webinars, it’s crucial to have the right experiential marketing tools to manage these events.
      6. Experience Optimization: Experience Optimizations include A/B testing and personalization software or programs that allow brands to take action on their analytics to make their marketing campaigns more efficient. 
      7. Social Media: This includes technologies to monitor social activity and make social engagement easier, which can help maximize the impact of this marketing channel. Social networks such as LinkedIn and Facebook are also a vital part of the ads landscape, and many have paid advertising options available.
      8. Digital Asset Management (DAM): Like a content management system, it stores content but typically focuses on keeping track of and authoring static assets like images, documents, and videos.
      9. Customer relationship management (CRM): When CRM is used with a direct salesforce, marketing attribution can be tracked. CRMs track all customer relationships and can provide insights into how marketing campaigns influence sales pipelines and customer growth.
      10. Search engine optimization (SEO): SEO is often an essential strategy for driving organic traffic to the website by ranking higher in search engines such as Google and often pairs well with content marketing strategy.

      It’s also important to know which skill sets and team members businesses need to ensure that the marketing team benefits from the technologies. 

      Here are a few categories to consider when thinking about how marketing technology will complement the business:

      • Customer acquisition – website optimization, online marketing, event marketing, partner marketing
      • Brand & communications – public relations, broadcast advertising, social media, sponsorships
      • Product marketing – content marketing, product marketing, analyst relations
      • Marketing operations – campaign performance, data analysis, and insight into marketing operations play a crucial role that will help enable the rest of the marketing team to make intelligent decisions with the marketing data.

      Benefits of MarTech in Driving Sales

      Marketing teams worldwide have long relied on these tools every day to consistently deliver relevant content to their audience. Martech also helps to:

      1. Do More, Faster:

      Use automated tools to save time by streamlining repetitive tasks such as pulling data, converting file formats, and finding assets.

      2. Enhance Internal Communication:

      Provide a way to communicate openly about project status and team goals to improve tracking.

      3. Create Smarter Content:

      Create more intelligent content by using insights and data to understand performance, optimize experiences, and deliver targeted content.

      4. Build Better Relationships:

      Strengthen customer and buyer relationships by knowing the right thing to say with easy access to past conversations, interactions, subscription information, and more.

      5. Be Stronger Together:

      The value of each tool is amplified when they all come together to reduce friction in workflows, allowing brands to work faster and wiser.

      Building Marketing Technology Stack

      Building a sustainable martech stack requires a strong understanding of the current and future technology landscape and where business needs fit into it.

      Understanding tech gaps within the organization will also allow it to recognize opportunities for new tools as the need arises. Brands mapping their martech needs is vital in bringing clarity to the process. With six recognized categories in the martech landscape, it’s essential to review the tools and companies that make up each to understand how they could benefit the brand.

      Gen-AI Sales Agents: Chatbots with AI to Drive Conversion from Website

      Everyone knows selling online isn’t easy. Brands have to attract visitors and keep users happy throughout the purchase process. Adding to all of that is this year’s pandemic. But it’s not all doom and gloom. Despite these difficulties, a strategy in line with customer needs and the right technology can be a brand’s best ally.

      A Harvard Business Review article says that companies using AI increased leads by 50%, reduced costs by 40% to 60%, and decreased customer call time by 60% to 70%. 

      Let’s explain the main benefits of this technology and its main applications in sales strategy.

      Driving quality traffic to the websites won’t help brands if they haven’t figured out ways to leverage them and achieve the desired conversion rates. If visitors are not converted into qualified leads, marketing investment returns will always be lower.

      It is where Virtual AI sales agents can prove a great tool — brands can use them to devise a solid engagement strategy and drive the conversion. Therefore, brands should use AI-powered bots to automate the sales process and successfully engage and qualify website visitors. 

      It is how chatbots for sales can ensure every dollar spent on marketing fetches better returns and certainly generates more revenues for businesses.

      10 Sales Chatbot Features that Help Drive Conversions

      Companies are increasingly using artificial intelligence to implement new strategies. Specifically, a study conducted by Forrester revealed that 46% of the companies implementing this technology today use it in their sales and marketing departments, and 40% in customer service.

      Applied to chatbots, conversational AI lets brands automate customer communication points while still delivering a satisfying and efficient experience. This technology allows for natural conversations, understanding of regionalisms, interpretation of grammatical errors, and even usage of emojis, gifs, and memes. There are other advantages, like 24/7 availability, immediacy, and omnichannel service, to help a prospect throughout the entire purchase process, thus making them a partner at every step of the sales process.

      Great customer conversations are essential to accelerating leads and growing conversions for any business. Companies are now delivering great experiences to customers via timely conversations and engaging them with the perfect message, boosting the sales pipeline thanks to AI chatbot marketing features.

      To drive leads and increase conversions, businesses can utilize sales chatbot features in the following ways:

      1. Pre-Qualify Leads 24×7:

      Before talking to customers, brands have to get their attention. One way to do this is with chatbot advertisements. These are small buttons or images that stand out on websites that, when clicked, automatically open a chat window with a predetermined message.

      This way, brands can bring users to the bot with a relevant message. Chatbots can be an excellent tool for optimizing the customer experience and boosting lead generation.

      Since bots are conversational and always available, businesses can modify them based on the different stages of the customer journey and bolster the lead qualification effort.

      However, businesses first need to build the chatbot for lead generation flow with relevant questions to ensure better customer engagement. It is also essential to consider the human touch in creating the bot flow to avoid sounding robotic, attract more visitors and generate more leads.

      Best Practices to Qualify Leads Using Chatbots

      • Consider the customer journey: Target the lead qualification bots based on the customer journey stage or the visitors’ specific page to get better results.
      • Have step-by-step questions: Ensure there is a multi-step form system with specific questions for each stage to serve customers relevantly without confusing them.
      • Prioritize the questions: Design the bot flow so that customers are asked the most critical questions on a priority basis, which boosts engagement.
      • Place easy-to-click buttons: More leads can be qualified when the visitors are provided with buttons against questions, making the tasks easier for them.

      2. Automate Appointment Bookings:

      Reservations via chatbot are a favorite with customers because booking appointments based on availability is fun and interactive. They also like navigating through a tree of options, answering questions, and getting recommendations for bookings or reservations.

      Businesses can automate appointment scheduling with chatbots and let visitors self-schedule. Additionally, this helps gather data to generate leads for the sales team. Chatbots can be customized or programmed to establish the time and duration of the appointment and allocate particular slots to consumers.

      Further, integrating the chatbots with Google Calendar will help brands display the available slots to customers based on their time zone and prevent overbooking. The calendar integration will always ensure that both business and the lead receive a timely email invite so that the dates are remembered.

      3. Assist Customers with Pricing Queries:

      Through conversations, businesses can guide customers to find exactly what they’re looking for. When a user asks a question, the chatbot will direct them to the section where they can find the products related to what they asked. This prevents them from leaving the site before finding what they were looking for, thus improving retention.

      Giving customers the pricing information at the right time can help ensure better leads and conversions. Chatbots can assist in automating the pricing process and save agents the tedious task of displaying it to visitors. More importantly, a Conversational AI-enabled chatbot can always handle customer queries efficiently and guide them with the correct product information through the sales funnel.

      Tips for using chatbots to assist customers with pricing queries:

      • Bot on the pricing page – Adding a bot on the pricing page can be incredibly helpful in answering routine questions and helping customers pick the right product quickly.
      • Display product pricing – Brands can visually display product pricing and give customers a chance to compare prices for different products.
      • Send product quotations to customers – Bots can automatically generate quotations or replace purchase order forms, boosting sales.

      4. Ensure Online Orders From Social Media Pages:

      Customers now expect online ordering systems to align with their social media usage, driving conversational eCommerce growth. Many businesses have started to add chatbots to social media pages enabling customers to place orders directly from official handles.

      Twitter and Facebook Messenger users can now use a chatbot without placing an order over the phone.

      Reasons to use chatbots for online ordering:

      • Businesses can tap into the next generation of millennial customers by using chatbots for online orders on messaging platforms.
      • The purchasing process becomes seamless for new-age customers as they don’t have to download an app to buy products from a brand.

      5. Offer Product Recommendations:

      Besides capturing leads and chatting with them, the chatbot can also be a great sales agent. Based on the correct content, it’ll be able to make personalized suggestions and be with the user through the entire process to help make the sale. It can even help sell more products through Up-Selling and Cross-selling techniques. They can suggest add-on products, creating a need the customer hadn’t initially thought of.

      Most customers look for help to smoothly proceed through the final stage of the sales funnel. With quick answers to their queries and guidance, businesses can meet their preferences quickly. It is where customer service chatbots can prove extremely helpful as they can engage with customers via conversations, understand their needs better, and then recommend products accordingly.

      These chatbots can efficiently guide users and eliminate the need to have a sales agent, and at the same time, buyers won’t need to waste their time searching and knowing about the products by themselves.

      6. Give Personalized Welcome Messages:

      Customers love to be greeted by sales agents because it makes them feel special. A gentle welcome at the start can always prove handy when engaging visitors on the website. Businesses can greet online customers with personalized messages and make an instant connection with them. A proactive chatbot can help enterprises engage customers of any type, whether new or returning ones and cater to their needs via conversations. Brands must focus on the chatbot design flow and prepare multiple messages tailored for a positive customer experience to be effective with personalized welcome messages.

      7. Track the Status of Sales Order:

      After buying a product, the customers expect prompt delivery. If a brand uses an old-fashioned order tracking system, the customer must manually find the shipping number to obtain the details. Integrating Conversational AI chatbots into the shipping system can help customers track their order status. Thus, buyers can be spared the inconvenience of calling the support agent or filling out the tracking order on a third-party website. 

      8. Reduce Cart Abandonment Rate:

      Cart abandonment is a big issue retailers and the eCommerce industry face worldwide. There could be many reasons why customers might leave the purchase mid-way, a complex checkout process, poor website navigation, or high shipping costs. AI chatbots can help reduce cart abandonment by filling the gaps between what customers want and want they should get. Businesses can adeptly use bots to trigger messages at various sales funnel stages and reduce cart abandonment rates.

      How Chatbots Reduce Cart Abandonment

      • Answer product FAQs: Chatbots can answer the FAQs before and during the purchase either in a clicked-on or automatically triggered manner and clarify customers’ doubts on time.
      • Ensure Guided Selling: Brands can program and set up AI-powered chatbots to understand customer preferences quickly, answer their product queries, and automatically get triggered based on certain predefined conditions.
      • Provide Last-Minute Personalized Offers: Businesses can use AI-based chatbots to build-up triggers like last-minute offers, discounts, something free with the products, etc., to reduce the cart abandonment rate.

      9. Offer Multilingual Sales Support:

      The relationship with the customer doesn’t end with the completion of sales. The important thing is that brands continue to offer 24/7 omnichannel service and personalization to answer questions about shipping status, changes, or returns. The customer can share the tracking number with the bot and immediately receive updates on the quality of their shipment. Bots can also send proactive messages on WhatsApp to notify the customer when their package will arrive. Most online shoppers prefer to make purchases in their language, and they would not go ahead if this option were not available.

      Therefore, if a business is selling products across the globe, it will have customers with different choices for conversations. In such scenarios, AI chatbots can prove handy as they can be programmed to offer multi-lingual support and increase conversions. When brands can help with sales-related queries in multiple languages, they can quickly become more accessible and expand to new markets.

      Benefits of Offering Multilingual Sales Support

      • Improve customer experience – Using AI bots can help businesses engage customers better with faster and easier conversation in the native language and improve their experience with the brand.
      • Expand customer base – A multilingual bot can help brands expand their reach, showcase the products to a new set of customers, and quickly move them down the sales funnel.

      10. Build Lasting Relationships with Prospects:

      To develop a long-term relationship and nurture it over time, brands can collect customer contact information through forms that can be transferred to the CRM software to add it to the newsletter, nurture or mailing lists.

      Schedule a demo with our experts to know more.

    2. AI With Intelligent Automation (IA) is the Secret Sauce to Conversational Results

      AI With Intelligent Automation (IA) is the Secret Sauce to Conversational Results

      Customer experience is now at the center of modern business strategies. Such a customer-centric approach is growing in our times due to massive competition and options available to consumers. But how do brands create a competitive edge and offer an exceptional customer experience?

      AI allows us to hit that sweet spot and deliver impeccable sales as well as customer service. It enables consumers to get a hyper-personalized experience that is quick and efficient.

      When you consider it from a customer’s perspective, creating a better experience is all about simplification. Conversational AI can help simplify the entire consumer experience from product understanding to purchase and from post-sales services to customer claims.

      But in order to simplify the process, we also need to look at the pre-existing data and make the best use of it.

      Behind Every Great AI is a Lot of Data

      The more data that’s available, the more training it will have and the better it will perform. There’s a clear correlation between the amount of data that is used to bootstrap an AI’s knowledge base and its accuracy in carrying on conversations with your customers correctly.

      To be accurate, data is the building block behind Conversation AI. Through the help of available data and patterns, AI defines the understanding of a customer’s message and looks for the desired information.

      Let’s take an example here: Imagine that you’re creating a virtual agent, and the virtual agent sits on a website or landing page.

      The website is going to be connected to a tech stack such as a CRM, Marketing automation tool, etc. Systems that will give you insight into historical data, historical and real time actions of a customer.

      To know more on how you can use messaging platforms to capture first party customer data – view our blog piece here.

      Maybe the user is on the returns page. Or they have added a product to the cart, or have just logged in – at each instance, they would want to talk about a different problem and have a different conversation. Several common scenarios may include:

      • I recently purchased a shirt but I received the wrong colour.
      • When will I get my package? I ordered a product from your site a few days ago!
      • I tried to purchase a subscription for your platform. The amount is deducted but I still don’t have access. Help!

      Now, they may connect with your sales assistants, who in return can recognize their phone number, understand what their previous interaction with the company was, and whether this conversation is likely to be relevant to a previous conversation.

      If you smartly use the data that you already have on your customers, their data from their conversations, data on their preferences, based on previous customer interactions, or contextual, based on the actions that the customer has taken, then you’re able to provide truly personalized, truly contextual AI assistance that is going to create a superior customer experience.

      Why You Should Be Concerned With The Quality Of Data?

      While the quantity and availability of data is a necessity to train a Machine Learning model, it is equally important to have accurate, precise, and useful data.

      Data that is inaccurately collected or extracted would make Conversational AI inefficient. As such poorly collected data can actually defeat the purpose of quick, efficient, and automated sales as well as customer support.

      Therefore any solution that we build with Machine Learning has to use a verified and accurate set of data in order to be useful and improvised over time.

      Quality Data In Conversational AI Can Lead to Numerous Performance Advantages:

      • Good quality data can allow Conversational AI to fulfill any customer requests or questions accurately, creating a better experience for them. In turn, it helps brands gain customer loyalty. A win-win situation, right?
      • Accurate data can allow you to be safe against false promises and inaccurate customer expectations.
      • Efficient Conversational AI solutions can provide you with an idea of consumer interest and frequent concerns. This can help businesses to gain feedback on where and how they can improvise. Lending results beyond the solution itself.
      • Machine Learning models can improve over time if it is fed the right data. Much like a positive feedback loop, such a Conversational AI solution would get better over time.
      • Only high-quality data can give expected outcomes. Without a verified Conversational AI solution, there’s constant room for error and such a Machine Learning system must be supervised throughout the implementation.

      In the End, It’s All About the Right Dataset

      Gen-AI carries great potential to transform your customer experience. However, it is essential to understand that such a solution can only be beneficial to you if it is built upon the right dataset.

      Schedule a demo with our experts today to know how we can help you with effective deployment of Gen-AI into your business.